Publication: Precise indoor localization through UWB-based technology with trilateration and multilateration technique
| datacite.subject.fos | oecd::Engineering and technology::Electrical engineering, Electronic engineering, Information engineering::Electrical and electronic engineering | |
| dc.contributor.author | Muhammad Naqib bin Azahar | |
| dc.date.accessioned | 2025-05-08T06:33:56Z | |
| dc.date.available | 2025-05-08T06:33:56Z | |
| dc.date.issued | 2023-07 | |
| dc.description.abstract | This project presents an innovative indoor localization technique that uses Ultra Wideband (UWB) technology, trilateration, multilateration, and Kalman filtering on Matlab. The methodology consists three key steps: firstly, collecting 2D coordinates from UWB Anchors deployed at known locations; secondly, employing trilateration and multilateration algorithms to estimate distances between the Anchors and the receiver, facilitating robust and accurate position estimation; and finally, applying a Kalman filter to effectively filter noisy distance measurements, resulting in a refined and highly accurate estimation of the receiver’s position. Extensive evaluations conducted in a real indoor environment with multiple obstacles showcased the approach’s remarkable performance, yielding high accuracy and precision even in the presence of high interference. The technique’s potential for indoor localization applications, such as asset tracking, indoor navigation, and location-based services, promises to revolutionize diverse industries, enhancing efficiency and productivity within complex indoor settings. With its adaptability and reliability demonstrated, this research opens new possibilities for seamless indoor positioning, driving advancements in smart in door environments and inspiring further research to explore integrations with other sensors or advanced algorithms for more sophisticated indoor localization solutions. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/21578 | |
| dc.language.iso | en | |
| dc.title | Precise indoor localization through UWB-based technology with trilateration and multilateration technique | |
| dc.type | Resource Types::text::report::technical report | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |